Machine Learning Engineer - Large Language Models

Tasks

• Collaborate with cross functional teams to build and evaluate deep learning solutions
• Fine-tune large language models
• Implement retrieval-augmented generation pipelines
• Optimize large language models
• Package and deploy AI models
• Prepare and curate datasets
• Stay current with LLM machine learning infrastructure and AI engineering best practices

Perks/Benefits

• Continuous learning
• Exposure to Open Source AI
• Fully remote
• International collaboration
• Professional development

Skills/Tech-stack

AI Engineering | Axolotl | Data Curation | Deep learning | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | Machine Learning | Model Quantization | Model Serving | Parameter efficient fine-tuning | Performance optimization | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Retrieval-Augmented Generation | Supervised Fine Tuning | Text Generation | Text generation inference | Transformers | VLLM